spark hadoop configuration

Introduction Recently, with the need for scientific research, Hadoop clusters have been built from scratch, including separate zookeeper and HBase. For Linux, Hadoop and other related basic knowledge is relatively small, so this series of sharing applies to a variety of small white, want to experience the Hadoop cluster. At the same time, put forward some proble

After more than a week, I finally set up the latest version of Hadoop2.2 cluster. During this period, I encountered various problems and was really tortured as a cainiao. However, when wordcount gave the results, I was so excited ~~ (If you have any errors or questions, please correct them and learn from each other) In addition, you are welcome to leave a message when you encounter problems during the configuration process and discuss them with each o

8649239.2. 11.71 }Modified to:/**/239.2. 11.71 8649239.2. 11.71 }2. Configure gmetad.confVim/etc/ganglia/gmetad.confData_source "My cluster" localhostModified to:Data_source "My Cluster" 192.168.10.128:86493. Restart Service required:/etc/init.d/ganglia-Monitor Restart/etc/init.d/Gmetad restart/etc/init.d/apache2 restartIf you encounter a situation where apache2 cannot be restartedVim/etc/apache2/apache2.confFinally add a sentence ServerName localhost:80 can.4. Now you can access Gnglia webin

This article mainly introduces the system configuration of hadoop. Next, we will introduce the main method of hadoop job in the previous article as follows: public static void main(String[] args) throws Exception { int res = ToolRunner.run(new Configuration(), new CalculateSumJob(),args); System.exit(res);} To

Chd4b1 (hadoop-0.23) for namenode ha installation Configuration Cloudera chd4b1 version already contains namenode ha, the Community also put namenode ha branch HDFS-1623 merge to trunk version, can achieve hot backup of dual namenode, but currently only supports manual switch, does not support automatic switch, switch progress in the community see: https://issues.apache.org/jira/browse/HDFS-3042 Namenode ha

Hadoop memory configuration There are two methods to configure the Hadoop memory: manually install the hadoop help script; manually calculate the yarn and mapreduce memory size for configuration. Only the script calculation method is recorded here: Use the wget command to do

Distributed configuration Hadoop-2.2.0 in Ubuntu and centos introduces the most basic configuration of hadoop 2.2.0. Hadoop 2.2.0 provides the HA function. This article introduces the configuration of

The next day of contact with Hadoop, the configuration of Hadoop to the environment also took two days, the process of their own configuration is written here, I hope to help you!I will use the text to share all the resources here, click to download, do not need to find a!Among them is "the

Overview: Hadoop cluster, 1 sets of Namenode, a secondnamenode, a jobtracker and Taiwan Datanode, the specific installation method on the Internet there are too many, the following is just their own set up the experimental environment and the problem solution. 1, the configuration IP corresponding hostname/etc/hosts configuration namenode and Datanode, shape as f

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Setting up the Environment: jdk1.6,ssh Password-free communication System: CentOS 6.3 Cluster configuration: Namenode and ResourceManager on a single server, three data nodes Build User: YARN Hadoop2.2 Download Address: http://www.apache.org/dyn/closer.cgi/hadoop/common/ Step One: Upload Hadoop 2.2 and unzip to/export/yarn/ha